December 27, 2021

Meta-analysis finds mindfulness-based interventions reduce ADHD symptoms in adults, but no better than active psychological controls

According to Dexing Zhang et al., writing in the British Medical Bulletin, "Mindfulness is a moment-by-moment awareness of thoughts, feelings, bodily sensations, and surrounding environment. ... These practices can be formal (e.g. breathing, sitting, walking, body scan) or informal (e.g. mindfulness in everyday life).... Mindfulness is rooted in Buddhist traditions. However, it has become popular in recent years among various secular populations in healthcare, educational, and workplace settings: from pre-schoolchildren to older adults across the world." The two most widely adopted mindfulness-based interventions (MBIs) are mindfulness-based stress reduction and mindfulness-based cognitive therapy (Zhang, 2021).

An Italian research team recently conducted a comprehensive search of the peer-reviewed literature to identify studies exploring the efficacy of mindfulness-based treatments for ADHD. It found 31 studies that qualified for review, ten of which met the criteria for meta-analysis, with a total of 596 participants.

A meta-analysis of seven studies with a combined total of 489 participants found MBIs reduced ADHD symptoms with medium effect size and no sign of publication bias. When split into subgroups with and without active controls - in this case, psychoeducation and skills training groups -the outcomes diverged. In the three studies with non-active controls (187 participants), there was a large reduction in ADHD symptoms. In the four with active controls (302 participants), there was no significant difference.

A meta-analysis of ten studies with 596 participants found MBIs reduced inattention symptoms, with a medium-sized effect. Pooling the five studies without active controls (261 participants) produced a very large reduction in inattention symptoms. Once again, in the five studies with active controls (335 participants), there was no significant difference.

After adjusting for publication bias, a third meta-analysis of nine studies with 563 participants found no significant effect of MBIs hyperactivity symptoms. However, when limited to the five studies with-active controls (261 participants), it found a large reduction in hyperactivity symptoms.

After adjusting for publication bias, the fourth meta-analysis of four studies with a combined 243 participants found no significant improvement in executive function.

After adjusting for publication bias, a fifth meta-analysis combining six studies with 449 participants reported a moderate improvement in mindfulness skills. There was no significant improvement when looking only at the three studies with active controls (262 participants).

The team concluded that MBIs seemed to be effective in treating ADHD, but no more so than psychoeducation and skills training groups.

Yet they cautioned that the use of a waiting list for non-active controls muddies that conclusion: "It could be suggested that any intervention seems to have a significantly higher effect than WL [waiting list]in improving ADHD symptoms." This is a known hazard of using waiting lists as control groups (Cunningham, 2013).

Noting "the low general methodological quality," they stated, "From a clinical standpoint, according to the poor available evidence, we cannot conclude that MBIs are superior to other active [psychological] interventions in ameliorating all the considered outcomes, suggesting a role complementation and not as a replacement of the psychoeducation in the management of patients with ADHD, consistently with some guidelines' recommendations."

Francesco Oliva, Francesca Malandrone, Giulia di Girolamo, Santina Mirabella, Nicoletta Colombi, Sara Carletto, Luca Ostacoli, "The efficacy of mindfulness-based interventions in attention-deficit/hyperactivity disorder beyond core symptoms: A systematic review, meta-analysis, and meta-regression," Journal of Affective Disorders(2021), vol. 292,475-486, published online,https://doi.org/10.1016/j.jad.2021.05.068.

Dexing Zhang, Eric K P Lee, Eva C W Mak, C Y Ho, and Samuel S Wong, "Mindfulness-based interventions: an overall review," BritishMedical Bulletin (2021), vol. 138, issue 1, 41-57, published online, https://doi.org/10.1093/bmb/ldab005.

John A Cunningham, KyprosKypri, and Jim McCambridge, "Exploratory randomized controlled trial evaluating the impact of a waiting list control design," BMC Medical Research Methodology (2013), vol. 13, article 150, published online, https://doi.org/10.1186/1471-2288-13-150.

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News Tuesday: Integrating Cognition and Eye Movement

Integrating Cognitive Factors and Eye Movement Data in Reading Predictive Models for Children with Dyslexia and ADHD-I

In a recent study, researchers delved into the complex interplay of cognitive processes and eye movements in children with dyslexia and Attention-Deficit/Hyperactivity Disorder. Their findings shed light on predictive models for reading outcomes in these children compared to typical readers.

The study involved 59 children: 19 typical readers, 21 with ADHD, and 19 with developmental dyslexia (DD), all in the 4th grade and around 9 years old on average. Each group underwent thorough neuropsychological and linguistic assessments to understand their psycholinguistic profiles.

During the study, participants engaged in a silent reading task where the text underwent lexical manipulation. Researchers then analyzed eye movement data alongside cognitive factors like memory, attention, and visual processes.

Using multinomial logistic regression, the researchers evaluated predictive models based on three key measures: a linguistic model focusing on phonological awareness, rapid naming, and reading fluency; a cognitive neuropsychological model incorporating memory, attention, and visual processes; and an additive model combining lexical word properties with eye-tracking data, specifically examining word frequency and length effects.

By integrating eye movement data with cognitive factors, the researchers enhanced their ability to predict the development of dyslexia or ADHD, in comparison to typically developing readers. This approach significantly improved the accuracy of predicting reading outcomes in children with learning disabilities.

These findings have profound implications for understanding and addressing reading challenges in children. By considering both cognitive processes and eye movement patterns, educators and clinicians can develop more effective interventions tailored to the specific needs of children with dyslexia and ADHD.

April 30, 2024

Exploring Gut Microbiota and Diet in Autism and ADHD: What Does the Research Say?


In recent years, there has been growing interest in understanding the connection between our gut microbiota (the community of microorganisms in our digestive system) and various neurodevelopmental disorders like autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). A new study by Shunya Kurokawa and colleagues dives deeper into this area, comparing dietary diversity and gut microbial diversity among children with ASD, ADHD, their normally-developing siblings, and unrelated volunteer controls. Let's unpack what they found and what it means.

The Study Setup

The researchers recruited children aged 6-12 years diagnosed with ASD and/or ADHD, along with their non-ASD/ADHD siblings and the unrelated non-ASD/ADHD volunteers. The diagnoses were confirmed using standardized assessments like the Autism Diagnostic Observation Schedule-2 (ADOS-2). The study looked at gut microbial diversity using advanced DNA extraction and sequencing techniques, comparing alpha-diversity indices (which reflect the variety and evenness of microbial species within each gut sample) across different groups. They also assessed dietary diversity through standardized questionnaires.

Key Findings

The study included 98 subjects, comprising children with ASD, ADHD, both ASD and ADHD, their non-ASD/ADHD siblings, and the unrelated controls. Here's what they discovered:

Gut Microbial Diversity: The researchers found significant differences in alpha-diversity indices (like Chao 1 and Shannon index) among the groups. Notably, children with ASD had lower gut microbial diversity compared to unrelated neurotypical controls. This suggests disorder-specific differences in gut microbiota, particularly in children with ASD.

Dietary Diversity: Surprisingly, dietary diversity (assessed using the Shannon index) did not differ significantly among the groups. This finding implies that while gut microbial diversity showed disorder-specific patterns, diet diversity itself might not be the primary factor driving these differences.

What Does This Mean?

The study highlights intriguing connections between gut microbiota and neurodevelopmental disorders like ASD and ADHD. The lower gut microbial diversity observed in children with ASD points towards potential links between gut health and the pathophysiology of ASD. Understanding these connections is crucial for developing targeted therapeutic interventions.

Implications and Future Directions

This research underscores the importance of considering gut microbiota in the context of neurodevelopmental disorders. Moving forward, future studies should account for factors like co-occurrence of ASD and ADHD, as well as carefully control for dietary influences. This will help unravel the complex interplay between gut microbiota, diet, and neurodevelopmental disorders, paving the way for innovative treatments and interventions.

In summary, studies like this shed light on the intricate relationship between our gut health, diet, and brain function. By unraveling these connections, researchers are opening new avenues for understanding and potentially treating conditions like ASD and ADHD.

April 9, 2024

Swedish Population Study Confirms Association Between ADHD and Height

Nationwide population study in Sweden confirms association between ADHD and shorter height in children and adolescents, suggests stimulant medications are not a factor

A commonly reported risk associated with ADHD medication is reduced growth in height. But studies to date have generally not adequately described or measured possible confounders, such as genetic factors, prenatal factors, or socioeconomic factors. What if ADHD were associated with reduced height even in the absence of medications? 

An international study team explored this question by performing a nationwide population study comparing data from before (1968-1991) and after (1992-2020) the adoption of stimulant therapy for ADHD in Sweden. 

The country’s single-payer health insurance system that connects patient records with all other national registers through unique personal identification numbers makes such analysis possible. Sweden also has military service conscription, which records the heights of 18-year-old males.

The participants were all 14,268 Swedish males with a diagnosis of ADHD who were drafted into military service at any time from 1968 through 2020. 

Up to five non-ADHD controls were identified for each ADHD case, matched by sex (they had to be male), birth year, and county. The total number of controls was 71,339.

Among 34,586 participants in the period before adoption of stimulant medications (1968-1991), those diagnosed with ADHD had roughly 30% greater odds of being shorter than normal (166-172 vs. 173-185 cm) than typically developing controls. That dropped to 20% greater odds among the 34,714 participants in the cohort following adoption of stimulant medications.

The odds of those diagnosed with ADHD being much shorter than normal (150-165 vs. 173-185 cm) remained identical (about 55% greater) among the almost 30,000 participants in both cohorts.

In other words, there was no increase in the odds of ADHD individuals being shorter than normal after adoption of stimulant therapy in Sweden compared with before such adoption.

Furthermore, after adjusting for known confounders, including birth weight, inflammatory bowel disease, celiac disease, hypothyroidism, anxiety disorders, depression, substance use disorder, and highest parental education, the odds of those diagnosed with ADHD being shorter than normal or much shorter than normal in the 1992-2020 cohort dropped to roughly 10% and 30% greater, respectively.

Could it be the disorder itself rather than stimulant treatment that is associated with reduced height in individuals diagnosed with ADHD?

To address effects of environmental and familial/genetic confounding, the team then compared the entire cohort of males diagnosed with ADHD from 1968 through 2020 with typically developing male relatives, ranging from first cousins to full siblings.

Among full siblings, the odds of those with ADHD diagnoses being shorter (over 90,000 participants) or much shorter (over 77,000 participants) were a statistically significant 14% and 18%, respectively.

The authors concluded, “Our findings suggest that ADHD is associated with shorter height. On a population level, this association was present both before and after ADHD-medications were available in Sweden. The association between ADHD and height was partly explained by prenatal factors, psychiatric comorbidity, low SES [socioeconomic status] and a shared familial liability for ADHD.”

January 9, 2024